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MLOps engineer @ Capgemini Technology

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 MLOps engineer

Job Description

    Fill below mandatory link.

     

    MLops-virtual interview with Capgemini--all locations, Monday 27th Oct 2025 Fill out form

     

    Position: - Machine Learning Ops

    Harvest Level: Software Engineer

     

    Job Description:  

     

    Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively.

    Role & Responsibilities

    Responsible for design and implementation of secure and scalable infrastructure in Azure cloud.

    Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.

    Own and automate the infrastructure provisioning, demand forecasting and capacity planning.

    Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.

    Setting up the alerts and monitoring for the platform.

    Monitoring system, application health, security controls and cost

    Envision, implement and rollout best MLOPs/DevOps tools and automation.

     

    Requirements:

    Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices.

    Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure.

    Hands on experience in Python or any other scripting languages (Groovy, Shell)

    Experience with monitoring tools.

    Hands-on experience in Docker, Kubernetes.

    Excellent experience with source code management tools (git)

    Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc.

    Experience in implementing Data/Model drift.

    Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline.

    Excellent Troubleshooting skills

    Always ready to learn more and adopt new cutting-edge technology with right value proposition.

     

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MIS
Functional Area: Not Specified
Role/Responsibilies: MLOps engineer

Contact Details:

Company: Capgemini Technology
Location(s): Bengaluru

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Keyskills:   machine learning python

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₹ 6 to 11 Yr

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Capgemini Technology

Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...